Abstract: A device includes a memory configured to store a user experience evaluation unit. A processor is configured to receive a first user input corresponding to a user command to initiate a particular task, the first user input received via a first sensor. The processor is configured to, after receiving the first user input, receive one or more subsequent user inputs, the one or subsequent user inputs including a second user input received via a second sensor. The processor is configured to initiate a remedial action in response to determining, based on the user experience evaluation unit, that the one or more subsequent user inputs correspond to a negative user experience.

Abstract: A device to provide information to a visual interface that is mountable to a vehicle dashboard includes a memory configured to store device information indicative of controllable devices of a building and occupant data indicative of one or more occupants of the building. The device includes a processor configured to receive, in real-time, status information associated with the one or more occupants of the building. The status information includes at least one of dynamic location information or dynamic activity information. The processor is configured to generate an output to provide, at the visual interface device, a visual representation of at least a portion of the building and the status information associated with the one or more occupants. The processor is also configured to generate an instruction to adjust an operation of one or more devices of the controllable devices based on user input.

Abstract: In a particular aspect, a speech generator includes a signal input configured to receive a first audio signal. The speech generator also includes at least one speech signal processor configured to generate a second audio signal based on information associated with the first audio signal and based further on automatic speech recognition (ASR) data associated with the first audio signal.

Abstract: A method of authenticating a user based on voice recognition of a keyword includes generating, at a processor, clean speech statistics. The clean speech statistics are generated from an audio recording of the keyword spoken by the user during an enrollment phase. The method further includes separating speech data and noise data from noisy input speech using the clean speech statistics during an authentication phase. The method also includes authenticating the user by comparing the speech data to the clean speech statistics or by comparing the noisy input speech to noisy speech statistics. The noisy speech statistics are based at least in part on the noise data.

Abstract: A device includes a memory, a receiver, a processor, and a display. The memory is configured to store a speaker model. The receiver is configured to receive an input audio signal. The processor is configured to determine a first confidence level associated with a first portion of the input audio signal based on the speaker model. The processor is also configured to determine a second confidence level associated with a second portion of the input audio signal based on the speaker model. The display is configured to present a graphical user interface associated with the first confidence level or associated with the second confidence level.

Abstract: A device includes a memory configured to store a user experience evaluation unit. A processor is configured to receive a first user input corresponding to a user command to initiate a particular task, the first user input received via a first sensor. The processor is configured to, after receiving the first user input, receive one or more subsequent user inputs, the one or subsequent user inputs including a second user input received via a second sensor. The processor is configured to initiate a remedial action in response to determining, based on the user experience evaluation unit, that the one or more subsequent user inputs correspond to a negative user experience.

Abstract: A device includes a memory configured to store category labels associated with categories of a natural language processing library. A processor is configured to analyze input audio data to generate a text string and to perform natural language processing on at least the text string to generate an output text string including an action associated with a first device, a speaker, a location, or a combination thereof. The processor is configured to compare the input audio data to audio data of the categories to determine whether the input audio data matches any of the categories and, in response to determining that the input audio data does not match any of the categories: create a new category label, associate the new category label with at least a portion of the output text string, update the categories with the new category label, and generate a notification indicating the new category label.

Abstract: An apparatus includes a processor configured to receive one or more media signals associated with a scene. The processor is also configured to identify a spatial location in the scene for each source of the one or more media signals. The processor is further configured to identify audio content for each media signal of the one or more media signals. The processor is also configured to determine one or more candidate spatial locations in the scene based on the identified spatial locations. The processor is further configured to generate audio to playback as virtual sounds that originate from the one or more candidate spatial locations.

Abstract: In a particular aspect, a speech generator includes a signal input configured to receive a first audio signal. The speech generator also includes at least one speech signal processor configured to generate a second audio signal based on information associated with the first audio signal and based further on automatic speech recognition (ASR) data associated with the first audio signal.

Abstract: In a particular aspect, an apparatus includes an audio sensor configured to receive an input audio signal. The apparatus also includes speech generative circuitry configured to generate a synthesized audio signal based at least partly on automatic speech recognition (ASR) data associated with the input audio signal and based on one or more parameters indicative of state information associated with the input audio signal.

Abstract: An apparatus includes one or more sensor units configured to detect non-audible sensor data associated with a user. The apparatus also includes a processor, including an action determination unit, coupled to the one or more sensors units. The processor is configured to generate a descriptive text-based input based on the non-audible sensor data. The processor is also configured to determine an action to be performed based on the descriptive text-based input.

Abstract: Various embodiments provide systems and methods which disclose a command device which can be used to establish a wireless connection, through one or more wireless channels, between the command device and a remote device. An intention code may be generated, prior to, or after, the establishment of the wireless connection, and the remote device may be selected based on the intention code. The command device may initiate a wireless transfer, through one or more wireless channels of the established wireless connection, of an intention code, and receive acknowledgement that the intention code was successfully transferred to the remote device. The command device may then control the remote device, based on the intention code sent to the remote device, through the one or more wireless channels of the established wireless connection between the command device and the remote device.

Abstract: An electronic device includes a classifier circuit, a ranking circuit, and a data generator circuit. The classifier circuit is configured to determine, based on first data indicating samples of sounds detected at a plurality of geographic locations, a plurality of acoustic event classifications associated with the plurality of geographic locations. The ranking circuit is configured to determine a plurality of index scores associated with the plurality of geographic locations by ranking each of the plurality of geographic locations based on the plurality of acoustic event classifications. The data generator circuit is configured to generate, based on the plurality of index scores, second data indicating a geographic map corresponding to the plurality of geographic locations. The second data further indicates the plurality of index scores and a prompt to enable a search for a particular type of acoustic event.

Abstract: In a particular aspect, an apparatus includes an audio sensor configured to receive an input audio signal. The apparatus also includes speech generative circuitry configured to generate a synthesized audio signal based at least partly on automatic speech recognition (ASR) data associated with the input audio signal and based on one or more parameters indicative of state information associated with the input audio signal.

Abstract: A method of authenticating a user based on voice recognition of a keyword includes generating, at a processor, clean speech statistics. The clean speech statistics are generated from an audio recording of the keyword spoken by the user during an enrollment phase. The method further includes separating speech data and noise data from noisy input speech using the clean speech statistics during an authentication phase. The method also includes authenticating the user by comparing the speech data to the clean speech statistics or by comparing the noisy input speech to noisy speech statistics. The noisy speech statistics are based at least in part on the noise data.

Abstract: An apparatus includes a speech processing engine configured to receive data corresponding to speech and to determine whether a first characteristic associated with the speech differs from a reference characteristic by at least a threshold amount. The apparatus further includes a selection circuit responsive to the speech processing engine. The selection circuit is configured to select a particular speech codebook from among a plurality of speech codebooks based on the first characteristic differing from the reference characteristic by at least the threshold amount. The particular speech codebook is associated with the first characteristic.

Abstract: A method for speech modeling by an electronic device is described. The method includes obtaining a real-time noise reference based on a noisy speech signal. The method also includes obtaining a real-time noise dictionary based on the real-time noise reference. The method further includes obtaining a first speech dictionary and a second speech dictionary. The method additionally includes reducing residual noise based on the real-time noise dictionary and the first speech dictionary to produce a residual noise-suppressed speech signal at a first modeling stage. The method also includes generating a reconstructed speech signal based on the residual noise-suppressed speech signal and the second speech dictionary at a second modeling stage.

Abstract: An apparatus for detecting a sound in an acoustical environment includes a microphone array configured to detect an audio signal in the acoustical environment. The apparatus also includes a processor configured to determine an angular location of a sound source of the audio signal. The angular location is relative to the microphone array. The processor is also configured to determine at least one reverberation characteristic of the audio signal. The processor is further configured to determine a distance, relative to the microphone array, of the sound source along an axis associated with the angular location based on the at least one reverberation characteristic.

Abstract: A device includes a memory and a processor. The memory is configured to store a threshold. The processor is configured to authenticate a user based on authentication data. The processor is also configured to, in response to determining that the user is authenticated, generate a correlation score indicating a correlation between a first signal received from a first sensor and a second signal received from a second sensor. The processor is also configured to determine liveness of the user based on a comparison of the correlation score and the threshold.

Abstract: A method of operation of a device includes receiving an input signal at the device. The input signal is generated using at least one microphone. The input signal includes a first signal component having a first amount of wind turbulence noise and a second signal component having a second amount of wind turbulence noise that is greater than the first amount of wind turbulence noise. The method further includes generating, based on the input signal, an output signal at the device. The output signal includes the first signal component and a third signal component that replaces the second signal component. A first frequency response of the input signal corresponds to a second frequency response of the output signal.